@inproceedings{si-etal-2022-towards,
    title = "Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning",
    author = "Si, Qingyi  and
      Liu, Yuanxin  and
      Meng, Fandong  and
      Lin, Zheng  and
      Fu, Peng  and
      Cao, Yanan  and
      Wang, Weiping  and
      Zhou, Jie",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.findings-emnlp.495/",
    doi = "10.18653/v1/2022.findings-emnlp.495",
    pages = "6650--6662"
}